WTA 1000 · Round of 32 · Wuhan
Final score
Playing styles and historical archetype record
Pliskova
🤖 Servebot
Lucic
💥 Big Hitter
Matchup analysis
🤖 Servebot vs 💥 Big Hitter is historically tight (48% vs 52%, 4,362 matches). Neither style has a clear edge, so form, surface, and H2H matter most when Karolina Pliskova plays Mirjana Lucic.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Pliskova | Lucic |
|---|---|---|
| W-L | 8–3 | - |
| Avg odds | 2.14 | - |
| ROI % | +55.2% | - |
| Units P/L | +6.07u | - |
Prior meetings and scores · 5 career meetings
3
Pliskova
2
Lucic
Mar 20, 2017
Miami
H Hard · Quarterfinals
Jan 16, 2017
Australian Open
H Hard · Quarterfinals
Sep 28, 2015
Wuhan
H Hard · Round of 32
Aug 10, 2015
Toronto
H Hard · Round of 64
Feb 9, 2015
Antwerp
H Hard · Round of 32
Serve and return comparison · Last 90 days
| Stat | Pliskova | Lucic |
|---|---|---|
| Serve | ||
| 1st Serve In % | 65.7% | 0% |
| 1st Serve Pts Won % | 68.2% | 0% |
| 2nd Serve Pts Won % | 41.7% | 0% |
| Aces / Match | 4.1 | 0 |
| Double Faults / Match | 5.8 | 0 |
| Break Points Saved % | 51.1% | 0% |
| Return | ||
| 1st Return Pts Won % | 35% | 0% |
| 2nd Return Pts Won % | 53.1% | 0% |
| BP Converted % | 50.5% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 50.6% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Karolina Pliskova and Mirjana Lucic face off in the Round of 32 at Wuhan on Hard.
Karolina Pliskova leads 3-2 over 5 previous meetings.
Karolina Pliskova is 3-2 over the last 5 matches. Latest result: W vs Laura Siegemund (May 5).
Mirjana Lucic is 3-2 over the last 5 matches. Latest result: W vs Shelby Rogers (Jan 15).
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